CIO
NOVEMBER 21, 2024
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Effective IT strategy requires not just technical expertise but a focus on adaptability and customer-centricity, enabling organizations to stay ahead in a fast-changing marketplace.
CIO
DECEMBER 10, 2024
The software and services an organization chooses to fuel the enterprise can make or break its overall success. Here are the 10 enterprise technology skills that are the most in-demand right now and how stiff the competition may be based on the number of available candidates with resume skills listings to match.
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CIO
MARCH 11, 2025
billion deal, highlighting the growing enterprise shift toward AI-driven automation to enhance IT operations and service management efficiency. After closing the deal, ServiceNow will work with Moveworks to expand its AI-driven platform and drive enterprise adoption in areas like customer relationship management, the company said.
CIO
OCTOBER 23, 2024
In a survey of 451 senior technology executives conducted by Gartner in mid-2024, a striking 57% of CIOs reported being tasked with leading AI strategies. However, unlocking the full value of AI remains elusive, with four critical challenges standing in their way.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
CIO
NOVEMBER 4, 2024
AI-driven decision-making transforming the c-suite Bret Greenstein, PwC’s data and AI leader, is an expert on enterprise AI working with numerous executives to integrate AI operationally. Lazarev agrees: “It’s one thing to have the technology, but it’s another to weave it into the fabric of your business strategy.
CIO
NOVEMBER 19, 2024
As enthusiasm for AI and generative AI mounts, creating a winning AI strategy to help reduce operating costs and increase efficiency is easily topping the priority list for IT executives. Organizations need a broader data strategy to fuel AI, which includes embracing holistic data hygiene and governance strategies.
Advertiser: Data Robot
With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. Key questions for executives and leaders to answer about their AI strategy. Aligning AI to your business objectives.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.
Advertiser: ZoomInfo
Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality?
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
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And while its popularity has, of course, existed for decades, its accelerating growth in today’s enterprise is unmistakable. Find out why enterprises are going all-in on their open source strategy. Open source is not just a community, it’s a movement.
Speaker: Prem Chandrasekaran
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.
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